Protein homology detection by HMM–HMM comparison
Max Planck Institute for Developmental Biology
Abstract
MOTIVATION: Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and evolution. RESULTS: We have generalized the alignment of protein sequences with a profile hidden Markov model (HMM) to the case of pairwise alignment of profile HMMs. We present a method for detecting distant homologous relationships between proteins based on this approach. The method (HHsearch) is benchmarked together with BLAST, PSI-BLAST, HMMER and the profile-profile comparison tools PROF_SIM and COMPASS, in an all-against-all comparison of a database of 3691 protein domains from SCOP 1.63 with pairwise sequence identities below 20%.Sensitivity: When the predicted…
Citation impact
- FWCI
- 13.98
- Percentile
- 100%
- References
- 53
Authors
1Topics & keywords
- Hidden Markov model
- False positive paradox
- Sequence alignment
- Pairwise comparison
- Multiple sequence alignment
- Homology (biology)
- Protein function prediction
- Smith–Waterman algorithm